• Journal of Biosystems Engineering
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• 제23권3호
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• pp.229-244
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• 1998

This study was performed to determine proper fan and heater management schemes for natural air drying of rough rice in round steel bin with stirring device under Korean weather conditions. A computer simulation model was developed to predict moisture content changes, energy requirements, and drymatter losses during drying of rough rice by natural air. Drying test was conducted to validate the simulation model using round steel bin of holding capacity of 300ton at Rice Processing Complex in Jincheon. The bin was filled with rough rice every day and mixing by stirring device. Moisture contents, ambient air temperatures, relative humidities, static pressures in plenum chamber in the bin, airflow rates, and electrical and fuel energy were measured. Relative errors of moisture content changes predicted by the simulation model were below 5ft, and relative errors of final moisture content, final grain weight, required energy ranged from 0.9% to 6%. These not levels indicated that the simulation model can satisfactorily predict the performance factors of natural air drying system such as drying rates and energr consumptions comparing error level of 10% to 15% in other drying simulation models generally used in dryer desists. Twelve different fan and heater management schemes were evaluated using the computer simulation model based on three hourly weather data from Suweon for the period of 1952-1994. The best management schemes were selected comparing the drymatter losses, required drying times, required energy consumptions. Operating fan without heating only when ambient relative humidity was below 85% or 90% appeared to be the most effective method of In operation in favorable drying weather. Under adverse drying climates or to reduce required drying time, operating fan continuously, and heating air with $1.5^{\circ}C$ temperature rise only when ambient relative humidity was over 85% appeared to be the most suitable method.

• 한국입자에어로졸학회지
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• 제14권4호
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• pp.181-189
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• 2018

In this study, the risk rates of different contamination sources of the contaminant in a minienvironment were analyzed through Computational Fluid Dynamics (CFD) simulation. The airflow pattern characteristics can only predict the qualitative variation of contaminant concentration, but cannot evaluate the quantitative variations in the risk rate of sources. From the results, the ambient contamination sources mainly affect wafers in the Front Opening Unified Pod (FOUP), whereas the internal contamination sources mainly affect wafers laid on the robot arm in the minienvironment. And the purging plenum system is very useful in protecting the wafers in the FOUP from contaminants transferred from the Fan Filter Unit (FFU). However, this system is unable to protect the wafers on the robot arm from internal contaminants and the wafers in the FOUP from sources of the interface between the FOUP and the minienvironment.

• Agricultural and Biosystems Engineering
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• 제7권1호
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• pp.1-7
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• 2006

A need exists to monitor and control the localized high temperatures often experienced in solar grain dryers, which result in grain cracking, reduced germination and loss of cooking quality. A verified finite element model would be a useful to monitor and control the drying process. This study examined the feasibility of the finite element method (FEM) to predict temperature distribution in solar grain dryers. To achieve this, an indirect solar grain dryer system was developed. It consisted of a solar collector, plenum and drying chambers, and an electric fan. The system was used to acquire the necessary input and output data for the finite element model. The input data comprised ambient and plenum chamber temperatures, prevailing wind velocities, thermal conductivities of air, grain and dryer wall, and node locations in the xy-plane. The outputs were temperature at the different nodes, and these were compared with measured values. The ${\pm}5%$ residual error interval employed in the analysis yielded an overall prediction performance level of 83.3% for temperature distribution in the dryer. Satisfactory prediction levels were also attained for the lateral (61.5-96.2%) and vertical (73.1-92.3%) directions of grain drying. These results demonstrate that it is feasible to use a two-dimensional (2-D) finite element model to predict temperature distribution in a grain solar dryer. Consequently, the method offers considerable advantage over experimental approaches as it reduces time requirements and the need for expensive measuring equipment, and it also yields relatively accurate results.

• International Journal of Fluid Machinery and Systems
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• 제6권2호
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• pp.56-74
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• 2013

Stall stagnations in the system of axial-flow compressors and ducts occur in transition from deep surge conditions to decayed or converged stall conditions. The present study is concerned with the boundaries between the deep surges and the stagnation stalls on the basis of analytical results by a code on surge transients analysis and simulation. The fundamental acoustical-geometrical stagnation boundaries were made clear from examinations of the results on a variety of duct configurations coupled with a nine-stage compressor and a single stage fan. The boundary was found to be formed by three parts, i.e., B- and A-boundaries, and an intermediate zone. The B-boundary occurs for the suction-duct having a length of about a quarter of the wave-length of the first resonance in the case of very short and fat plenum-type delivery duct. On the other hand, the A-boundary occurs for the long and narrow duct-type delivery flow-path having a length about a fifth of the wavelength and relatively small sectional area in the case of short and narrow suction ducts. In addition to this, the reduced surge-cycle frequencies with respect to the duct lengths are observed to have respective limiting values at the stagnation boundaries. The reduced frequency for the B-boundary is related with a limiting value of the Greitzer's B parameter. The tendency and the characteristic features of the related flow behaviors in the neighborhood of the boundaries were also made clearer.

• 한국식품저장유통학회지
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• 제11권2호
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• pp.263-268
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• 2004

곡물냉각기를 이용하여 벼의 냉각특성을 구명하기 위하여 RPC의 원형빈에서 2회의 냉각실험을 실시하였다. 1차 냉각 실험은 하절기에 200 톤 규모의 원형빈에서, 2차 냉각실험은 수확기에 300 톤 규모의 원형빈에 저장된 벼를 대상으로 실시하였다. 그 결과를 요약하면 다음과 같다. 1차 냉각실험에서 초기곡온 23.6$^{\circ}C$, 함수율 19.3%인 벼180.3 톤을 14$^{\circ}C$까지 냉각시키는데 52.5시간이 소요되었으며, 냉각을 통해 함수율은 약 0.6% 감소하였다. 또한, 2차 냉각실험에서 초기곡온 16.1$^{\circ}C$, 함수율 19.2%인 벼 272.2 톤을 5.5$^{\circ}C$까지 냉각시키는데 78.0시간이 소요되었다. 1, 2차 냉각실험에서 냉각공기온도를 각각 8.0, 5.5$^{\circ}C$로 설정하였을 때, 곡물냉각기출구의 냉각공기온도는 각각 8.0$\pm$0.48$^{\circ}C$, 5.7$\pm$0.84$^{\circ}C$로서 정밀하게 제어되고 있음을 알 수 있었으며, 2차 냉각실험에서의 온도편차가 1차 냉각실험에서보다 높게 나타난 것은 냉각부하가 적었고, 외기조건이 급격하기 변화하여 압축기 무부하전자변, 재열기 및 증발기에 공급되는 고온고압 냉매가스량, 응축기 송풍기가 제어되었기 때문으로 판단되었다. 1차 냉각실험에서 곡물냉각기에서 냉각된 공기량은 평균77.5㎥/min인데 비해 곡물층을 통과한 냉각공기량은 42.5㎥/min에 불과해 약 45%의 냉각공기가 누설되어 이에 대한 방지책이 필요하였다. 냉각부하가 큰 하절기에 실시한 1차 냉각실험에서는 댐퍼만이 제어되었으며, 소요전력은 평균 22.1㎾를 나타낸 반면, 냉각부하가 적은 수확기에 실시한 2차 냉각실험에서는 압축기의 무부하전자변, 응축기 송풍기 등이 제어되었으며, 소요전력은 평균 17.4㎾로 나타나 하절기에 비하여 약 27%정도의 에너지가 절감된 것으로 나타났다.